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迈向亲附能力神经行为特征的多模态测量模型。

Toward a multimodal measurement model for the neurobehavioral trait of affiliative capacity.

作者信息

Palumbo Isabella M, Perkins Emily R, Yancey James R, Brislin Sarah J, Patrick Christopher J, Latzman Robert D

机构信息

Department of Psychology, Georgia State University, Atlanta, GA, USA.

Department of Psychology, Florida State University, Tallahassee, FL, USA.

出版信息

Personal Neurosci. 2020 Nov 10;3:e11. doi: 10.1017/pen.2020.9. eCollection 2020.

DOI:10.1017/pen.2020.9
PMID:33283145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7681166/
Abstract

A growing body of research supports the value of a multimodal assessment approach, drawing on measures from different response modalities, for clarifying how core biobehavioral processes relate to various clinical problems and dimensions of psychopathology. Using data for 507 healthy adults, the current study was undertaken to integrate self-report and neurophysiological (brain potential) measures as a step toward a multimodal measurement model for the trait of affiliative capacity (AFF) - a biobehavioral construct relevant to adaptive and maladaptive social-interpersonal functioning. Individuals low in AFF exhibit a lack of interpersonal connectedness, deficient empathy, and an exploitative-aggressive social style that may be expressed transdiagnostically in antagonistic externalizing or distress psychopathology. Specific aims were to (1) integrate trait scale and brain potential indicators into a multimodal measure of AFF and (2) evaluate associations of this multimodal measure with criterion variables of different types. Results demonstrated (1) success in creating a multimodal measure of AFF from self-report and neural indicators, (2) effectiveness of this measure in predicting both clinical-diagnostic and neurophysiological criterion variables, and (3) transdiagnostic utility of the multimodal measure at both specific-disorder and broad symptom-dimension levels. Our findings further illustrate the value of psychoneurometric operationalizations of biobehavioral trait dimensions as referents for clarifying transdiagnostic relationships between biological systems variables and empirically defined dimensions of psychopathology.

摘要

越来越多的研究支持多模态评估方法的价值,该方法利用来自不同反应模式的测量手段,以阐明核心生物行为过程与各种临床问题及精神病理学维度之间的关系。本研究以507名健康成年人的数据为基础,旨在整合自我报告和神经生理学(脑电位)测量手段,朝着建立一种用于亲和能力(AFF)特质的多模态测量模型迈出一步——AFF是一种与适应性和适应不良的社会人际功能相关的生物行为结构。AFF水平较低的个体表现出人际联系缺失、同理心不足以及一种剥削性攻击性的社会风格,这种风格可能在对立性外化或痛苦性精神病理学中跨诊断地表现出来。具体目标是:(1)将特质量表和脑电位指标整合为AFF的多模态测量方法;(2)评估这种多模态测量方法与不同类型标准变量之间的关联。结果表明:(1)成功地从自我报告和神经指标创建了AFF的多模态测量方法;(2)该测量方法在预测临床诊断和神经生理学标准变量方面有效;(3)这种多模态测量方法在特定障碍和宽泛症状维度水平上都具有跨诊断效用。我们的研究结果进一步说明了生物行为特质维度的心理神经测量操作化作为参考指标在阐明生物系统变量与经验性定义的精神病理学维度之间跨诊断关系方面的价值。

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